Solution Examples
OEE transparency in packaging production – 15% fewer downtimes
Compressed air monitoring in a food plant – 17% lower energy demand
Automatic standby management in machining
Energy efficiency in plastic injection moulding – 11% lower energy consumption per part
Integration of old and new machines through IIoT in the textile industry
Increased efficiency through data-based machine monitoring
Podcast Episodes
From data to added value: How SITEC & in.hub are driving digitalization in mechanical engineering
How SITEC and in.hub Use IoT Technologies to Optimize the Shopfloor With digital services for energy monitoring and predictive maintenance, they enable companies like Webasto to lower operating costs, avoid unplanned downtime, and maximize machine efficiency. Energy Monitoring & Cost Optimization SITEC leverages the connACT platform to capture and analyze machine energy consumption in real time. in.hub’s IoT gateways ensure seamless connectivity and smart data evaluation, enabling companies to identify savings potential and optimize operating times. in.hub’s IoT gateways ensure seamless connectivity and smart data evaluation, enabling companies to identify savings potential and optimize operating times. Value for Webasto and other customers: – Lower energy costs through data-driven optimization – More sustainable production through efficient resource utilization Predictive Maintenance & Condition Monitoring Continuous machine condition monitoring detects anomalies early. Combined with in.hub’s IoT gateways, maintenance measures can be planned proactively before failures occur. Value for Webasto and other customers: – Reduction of unplanned downtime and production losses – Increased machine availability and lower maintenance costs The combination of SITEC’s connACT platform, in.hub’s IoT gateways, and SIINEOS as the operating system provides a powerful, easily integrable solution. The collaboration with Webasto illustrates how IoT technology can be practically implemented in production—delivering direct cost savings and increased process reliability. Tune in now to learn more about data-driven production optimization!
New customer requirements for manufacturers: Developing the business case with the SIINEOS operating system
In this episode, Madeleine welcomes Christian Groß, Managing Director of in.hub and Sven Kunze, Key Account Manager at ipf electronic. The discussion focuses on SIINEOS, an innovative operating system for free programming that is already preinstalled on IoT gateways from in.hub. The guests explain how SIINEOS helps to acquire and analyze data from machines and systems, for example to determine the remaining cutting reserve of a saw blade or to detect vibrations during operation. An example case shows how a company can use technology from in.huband sensors fromipc electronic and achieved significant savings in compressed air costs by detecting unnoticed leaks and adjusting the production process. The podcast highlights the importance of implementing solutions that are easy to use and versatile, so customers can manage their projects independently and confidently. Our guests emphasized the importance of creating transparency and integrating existing systems to enable effective and deliberate management of projects. In addition, the role of SIINEOS as a central analytics tool and data collection point, as well as the ability to send alerts and connect to existing systems, will be discussed. Finally, the user-friendliness of the technology is emphasized, as the data is initially stored on the device as delivered and the analysis can be performed easily and intuitively via application using the Grafana analytics tool.
The opportunity for the Electrical Industry – IoT Devices Capture, Process and Analyze Data with Use Cases from the Control Cabinet | in.hub & Turck
It is Tuesday noon, 12:30 p.m. – due to the failure of a system, the entire production has been at a standstill for 1.5 hours … The trigger: the temperature of a critical component in the control cabinet has risen massively. Where does the error come from? Are my components okay? The causes of machine downtime sometimes lie in the “stress” exerted on components in the control cabinet. One reason for this is the shift from centralized to decentralized automation – for the automation world, this represents both a major challenge and a great opportunity. Episode 78 of the IoT Use Case Podcast is about the control cabinet guard from Turck. Turck, formerly at home in the pure hardware business, is talking about one of its add-ons to its previous core business today. With intelligent interfaces to the interfaces, to the PLCs that are installed in a control cabinet, they now monitor data for their customers such as temperature fluctuations, door conditions, current or water condensate deposits that can lead to short circuits. Collecting, processing and analyzing data with IoT devices not only prevents unplanned machine downtime in production and increases energy efficiency – it also opens up new business models for suppliers and automation companies like Turck. The key is to feed existing expertise – sensor knowledge, for example – with strong partners and IoT technology. One of these partners is the expert for condition monitoring: in.hub. in.hub monitors components in the control cabinet through its condition monitoring platform, in the Linux-based IoT operating system, and are thus enablers of the automation world. More and more, we are seeing that OT is shifting towards IT. Control cabinets must fulfill a higher protection function, this goes as far as cyber security to create non-manipulable authorizations. An important keyword at this point: CRITIS.
